European Institute, London School of Economics
The Problem
People see why climate matters generally, but not why it matters to them
The Question
How can we deliver personalised messages at scale, cost-effectively, and in a way that engages people on a personal level?
We argue that AI – and in particular its personalised content - could influence climate attitudes and overcome some of the limitations of pure information provision.
Key Advantages:
H1: When compared with the control condition (information provision), interacting with the LLM will have a positive effect on all outcomes of interest: a) climate concern, b) policy support, c) pro-environmental behavior, d) conversation spillover, e) political spillover, and f) subjective climate beliefs.
H2: The personalized LLM interaction on climate change will be more persuasive/effective than the non-personalized LLM interaction and the basic information provision on all outcomes of interest.
H3: The personalized LLM interaction on climate change condition will be more persuasive/effective compared to the personalized AI interaction on an unrelated political topic.
Participants are randomized into these conditions:
Control: Standard information provision about climate change
Non-Personalized AI: Generic LLM conversation about climate change
Personalized AI (Unrelated Topic): Personalised AI-driven conversation about a political topic unrelated to climate change
Personalized AI (Climate): Personalised AI-driven conversation about climate change:
Timing and Analysis
Would you like to write a message to your local MP about climate change?
Would you like to learn more about climate change and how to take action?
Would you like to make a donation to a climate NGO?
Any Questions?
The Numbers: